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High-throughput targeted proteomics discovery approach and spontaneous reperfusion in ST-segment elevation myocardial infarction - 05/02/20

Doi : 10.1016/j.ahj.2019.09.015 
Jay S. Shavadia, MD a, b, c, , Christopher B. Granger, MD c, Wendimagegn Alemayehu, PhD a, Cynthia M. Westerhout, PhD a, Thomas J. Povsic, MD c, Sorin J. Brener, MD d, Sean van Diepen, MD a, b, Christopher Defilippi, MD e, Paul W. Armstrong, MD a
a Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada 
b Department of Medicine, University of Alberta, Edmonton, Alberta, Canada 
c Duke Clinical Research Institute, Durham, NC, USA 
d Department of Medicine, Cardiac Catheterization Laboratory, New York Presbyterian Brooklyn Methodist Hospital, Brooklyn, NY, USA 
e Inova Heart and Vascular Institute, Falls Church, VA, USA 

Reprint requests: Jay S. Shavadia, 2400 Pratt St, Room 7035, Durham, NC 27705.2400 Pratt St, Room 7035DurhamNC27705

Abstract

Background

Although spontaneous reperfusion (SR) prior to primary percutaneous coronary intervention (pPCI) is associated with improved outcomes, its pathophysiology remains unclear. The objective of the study was to explore associations between SR in ST-segment elevation myocardial infarction (STEMI) using a multimarker cardiovascular proteins strategy

Methods

We evaluated STEMI patients from the Assessment of Pexelizumab in Acute Myocardial Infarction trial treated with pPCI within 6 hours from symptom onset. SR was core laboratory–defined as pre-PCI Thrombolysis in Myocardial Infarction flow 2 or 3. Ninety-one cardiovascular disease–related serum biomarkers drawn prior to PCI were analyzed using a high-throughput “targeted discovery” panel. Expression levels for individual biomarkers were compared between patients with/without SR. A hierarchical clustering method of biomarkers identified clusters of biomarkers that differentiated the 2 groups. Associations between individual biomarkers and clusters with SR were further evaluated by multivariable logistic regression.

Results

Of 683 patients studied, 290 had spontaneous reperfusion; those with compared to without SR were more likely noninferior STEMI and had lower clinical acuity and lower baseline levels of troponin and creatine kinase. SR was associated with a lower occurrence of 90-day composite of death, heart failure, or cardiogenic shock. Fifty-two of 91 individual biomarkers were significantly univariably associated with SR. Forty-five remained significant with adjustment for false discovery rate. Using cluster analysis, 26 biomarkers clusters were identified, explaining 72% of total covariance, and 13 biomarker clusters were significantly associated with SR after multivariable adjustment. SR was associated with higher mean expression levels of proteins in all 13 clusters. The cluster most strongly associated with SR consisted of novel proteins across various distinct, yet interlinked, pathobiological processes (kallikrein-6, matrix extracellular phosphoglycoprotein, matrix mettaloproteinaise-3, and elafin).

Conclusions

Spontaneous reperfusion prior to pPCI in STEMI was associated with a lower risk of adverse clinical events. These exploratory data from a targeted discovery proteomics platform identifies novel proteins across diverse, yet complementary, pathobiological axes that show promise in providing mechanistic insights into spontaneous reperfusion in STEMI.

Condensed abstract

Spontaneous reperfusion has been established with improved STEMI outcomes, yet its pathobiology is unclear and appears to involve diverse physiological processes. Using a 91-biomarker high-throughput proteomics platform, we studied 683 STEMI patients in the APEX AMI trial (290 had core laboratory–adjudicated pre-PCI TIMI 2/3 flow) and identified 52 proteins that univariably associate with spontaneous reperfusion. Cluster analysis identified 26 biomarker clusters (explaining 72% of total variance), 13 of which, after multivariable adjustment, were significantly associated with spontaneous reperfusion. Four proteins (kallikrein-6, matrix extracellular phosphoglycoprotein, matrix mettaloproteinaise-3, and elafin) across diverse, yet complementary, pathways appear to be associated most strongly with spontaneous reperfusion.

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Plan


 Relationships with industry and other entities: Dr Defilippi received grant support from Roche Diagnostics and Siemens Heathineers and has served as a consultant for Roche Diagnostics, Siemens Heathineers, Ortho Clinical, Abbott Diagnostics, FijiRebio, Metanomics, Quidel, UpToDate, and WebMD. Dr Granger received grant support and consulting fees from Boehringer Ingelheim, Bayer, Bristol Myers Squibb, Daiichi Sankyo, Janssen Pharmaceutica, Pfizer, GlaxoSmithKline, and Sanofi; consulting fees and lecture fees from Boston Scientific; grant support from Merck; and consulting fees from AstraZeneca, Armetheon, Eli Lilly, Gilead, Hoffmann-La Roche, Medtronic, Takeda, and the Medicine Company. Dr Povsic has received grants from Baxter Healthcare, Caladrius Biosciences, Capricor, CSL Behring, and Janssen Pharmaceuticals and personal fees from Eli Lilly, NovoNordisk, and Pluristem. Dr Armstrong has served as a consultant for Bayer and Merck. He has received research grants from CSL, Boehringer Ingelheim, Bayer, and Merck. The other authors report no conflicts.
☆☆ Sources of funding: Funding for this study was obtained through the Innovation and Investment Award Duke Clinical Research Institute, Canadian VIGOUR Center, and Inova Heart Institute. All other authors have no disclosures.


© 2019  Elsevier Inc. Tous droits réservés.
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Vol 220

P. 137-144 - février 2020 Retour au numéro
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